How to get it

We use CMake for building the project and currently only provide the option to build from source. The LDA++ installation process is straightforward and documented at our site.

Console applications

We expect that the preferred way of using LDA++ will be through the provided console applications. You can read thorough documentation for them as well. All our console applications are designed to read matrix files serialized in numpy format so that one can easily create files in a python session.

It suffices to say that the following shell session runs the Fast Supervised LDA (fsLDA) on the scikit learn digits dataset (provided you have installed LDA++).